Demand response in the German district heating system

Yuchen Ju; Joakim Lindholm; Moritz Verbeck; Juha Jokisalo; Risto Kosonen; Philipp Janßenc; Yantong Li; Hans Schäfers; Natasa Nord

doi:10.1088/1755-1315/1185/1/012016

Demand response in the German district heating system

Yuchen Ju^*
, Joakim Lindholm
, Moritz Verbeck
, Juha Jokisalo
, Risto Kosonen
, Philipp Janßenc
, Yantong Li
, Hans Schäfers
, Natasa Nord

^*Tämän työn vastaava kirjoittaja

Hamburg University of Applied Sciences
Nanjing Tech University
Norwegian University of Science and Technology
Tallinn University of Technology

Tutkimustuotos: Lehtiartikkeli › Conference article › Scientific › vertaisarvioitu

1 Sitaatiot (Scopus)

76 Lataukset (Pure)

Abstrakti

The renewable energy share in energy supply systems is increasing for carbon neutrality. The realization of carbon neutrality can be supported by demand response (DR) strategies. This paper analyzed the DR control benefits of a German district heating (DH) system. For the first step, in German conditions, three building types were simulated by IDA-ICE software with and without a rule-based DR control. Secondly, a community was established based on the heat demand of the simulated buildings. This paper selected two different production scenarios. One scenario consisted by a biofuel CHP and gas boilers and the other one included a heat pump, an electric heater, and a solar thermal storage. After that, the production of the two scenarios with and without DR was optimized by the HGSO tool and it calculated the total production costs and CO2 emissions. It indicates that building owners and DH producers all earn benefits from the application of demand response. The maximum heating cost saving by DR is 4.9% for building owners. In the optimized two production scenarios, DH producers gain higher financial benefits and there are less CO2 emissions. The maximum total generation cost and CO2 emission savings are 12.6% and 8.6%, respectively.

Alkuperäiskieli	Englanti
Artikkeli	012016
Sivumäärä	10
Julkaisu	IOP Conference Series: Earth and Environmental Science
Vuosikerta	1185
Numero	1
DOI - pysyväislinkit	https://doi.org/10.1088/1755-1315/1185/1/012016
Tila	Julkaistu - 2023
OKM-julkaisutyyppi	A4 Artikkeli konferenssijulkaisussa
Tapahtuma	Sustainable Solutions for Energy and Environment - Bucharest, Romania Kesto: 16 lokak. 2022 → 21 lokak. 2022 Konferenssinumero: 8

Rahoitus

This study is part of the Smart Pro HeaT – Smart Prosumer Heating Technologies, SUREFIT and FINEST Twins projects. Smart Proheat project is funded by Business Finland and private companies Caverion Ltd., Fourdeg Ltd., Halton Ltd., and Aalto University as well as the Federal Ministry for Economic Affairs and Energy of Germany in the project; EnEff: Wärme SmartProHeaT: Smart Prosumer Heating Technologies, Subproject: Integration of smart prosumers into smart thermal grids (Project number: 03ET1598). SUREFIT project is funded by European Union (Horizon 2020 programme, Grant number: 894511). FINEST Twins project is funded by European Union (Horizon 2020 programme, Grant No. 856602) and the Estonian government. Authors would like to thank the steering group of Smart Proheat project: M. Sc. Olli Nummelin and M. Sc. Nelli Melolinna from Caverion Ltd., M. Sc. Markku Makkonen from Fourdeg Ltd. and Dr. Panu Mustakallio from Halton Ltd. and the colleagues from University of Applied Sciences Hamburg: M.Sc. Jan Trosdorff for support and fruitful discussions.

YK:n kestävän kehityksen tavoitteet

Tämä tuotos edistää seuraavia kestävän kehityksen tavoitteita:

SDG 7 – Edullinen ja puhdas energia
SDG 13 – Ilmastotoimet

Pääsy asiakirjaan

10.1088/1755-1315/1185/1/012016Lisenssi: CC BY

Ju_2023_IOP_Conf._Ser. _Earth_Environ._Sci._1185_012016Final published version, 821 KBLisenssi: CC BY

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Linkki julkaisuun Scopuksessa

1 Aktiivinen
2 Päättynyt

-: FINEST TWINS GA856602Nieminen
Nieminen, M. (Projektin jäsen), Toiskallio, K. (Projektin jäsen), Hajian, H. (Projektin jäsen), Rönkkö, J. (Projektin jäsen), Syri, S. (Projektin jäsen), Yeung, D. (Projektin jäsen), Hyvönen, J. (Projektin jäsen), Kuzmanovski, V. (Projektin jäsen), Salomaa, V. (Projektin jäsen), Agriesti, S. (Projektin jäsen), Koskinen, K. (Projektin jäsen), Mir, S. (Projektin jäsen), Abdollahi, E. (Projektin jäsen), Dibaj, S. (Projektin jäsen), Yousefnezhad, N. (Projektin jäsen), Zhou, Z. (Projektin jäsen), Farjam, T. (Projektin jäsen), Moradpoor, I. (Projektin jäsen), Esquivias Canadas, A. (Projektin jäsen), Ingi, D. (Projektin jäsen), Klossner, S. (Projektin jäsen), Malhi, A. (Projektin jäsen), Vosough, S. (Projektin jäsen), Kajosaari, A. (Projektin jäsen), Pinho, P. (Projektin jäsen), Anashin, P. (Projektin jäsen), Hiltunen, P. (Projektin jäsen), Helenius, O. (Projektin jäsen), Ojala, P. (Projektin jäsen), Österbacka, M. (Projektin jäsen), Nummi, P. (Projektin jäsen), Ghanbari, H. (Projektin jäsen), Malik, A. (Projektin jäsen), Keyriläinen, T. (Projektin jäsen), Knapic, S. (Projektin jäsen), Olin, J. J. (Projektin jäsen), Ahdekivi, V. (Projektin jäsen), Fröhlich, K. (Projektin jäsen), Madhikermi, M. (Projektin jäsen), Farsaei, A. (Projektin jäsen), Hollmen, J. (Projektin jäsen), Ju, Y. (Projektin jäsen), Kangassalo, P. (Projektin jäsen), Liu, Z. (Projektin jäsen), Bhusal, P. (Projektin jäsen), Laguardia Tavares, P. (Projektin jäsen), Mäkelä, J. (Projektin jäsen), Kauppi, A. (Projektin jäsen), Saif, A. (Projektin jäsen), Khajavi Haghighat, S. (Projektin jäsen), Olkkonen, V. (Projektin jäsen), Pihlava, K. (Projektin jäsen), Tan, X. (Projektin jäsen), Doostmohammadian, M. (Projektin jäsen), Javanshir, N. (Projektin jäsen), Sipetas, C. (Projektin jäsen), Su, Y. (Projektin jäsen), Ainamo, A. (Projektin jäsen), Munilal Jain, K. (Projektin jäsen), Putta, A. (Projektin jäsen), Toivio, T. (Projektin jäsen), Apopei, I.-V. (Projektin jäsen), Jokisalo, J. (Projektin jäsen), Avci, C. (Projektin jäsen), Bayrak, M. (Projektin jäsen), Liaquat, M. (Projektin jäsen), Espinosa, A. (Projektin jäsen), Limnell, J. (Projektin jäsen), Marques de Carvalho Martins Canha, D. (Projektin jäsen), Ahmed, K. (Projektin jäsen), Pirilä, J. (Projektin jäsen), Tervo, S. (Projektin jäsen), Wallgren, K. (Projektin jäsen), Abolfazli, E. (Projektin jäsen), Bagheri Majdabadi, M. (Projektin jäsen), Bobrov, N. (Projektin jäsen), Huotari, M. (Projektin jäsen), Koivunen, T. (Projektin jäsen), Nzewi, L. (Projektin jäsen) & Kovanen, E. (Projektin jäsen)
01/12/2019 → 31/05/2027
Projekti: EU H2020 Framework program
Surefit: SUSTAINABLE SOLUTIONS FOR AFFORDABLE RETROFIT OF DOMESTIC BUILDINGS
Kosonen, R. (Vastuullinen johtaja), Jokisalo, J. (Projektin jäsen), Hirvonen, J. (Projektin jäsen), Wang, Y. (Projektin jäsen), Kilpeläinen, S. (Projektin jäsen) & Farahani, A. (Projektin jäsen)
01/09/2020 → 28/02/2025
Projekti: EU H2020 Framework program
SMART PROHEAT: SMART PROHEAT SMART PROSUMER HEATING TECHNOLOGIES
Kosonen, R. (Vastuullinen johtaja), Jokisalo, J. (Projektin jäsen), Kauppi, V. (Projektin jäsen) & Lindholm, J. (Projektin jäsen)
01/08/2018 → 30/07/2021
Projekti: Business Finland: Other research funding

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title = "Demand response in the German district heating system",

abstract = "The renewable energy share in energy supply systems is increasing for carbon neutrality. The realization of carbon neutrality can be supported by demand response (DR) strategies. This paper analyzed the DR control benefits of a German district heating (DH) system. For the first step, in German conditions, three building types were simulated by IDA-ICE software with and without a rule-based DR control. Secondly, a community was established based on the heat demand of the simulated buildings. This paper selected two different production scenarios. One scenario consisted by a biofuel CHP and gas boilers and the other one included a heat pump, an electric heater, and a solar thermal storage. After that, the production of the two scenarios with and without DR was optimized by the HGSO tool and it calculated the total production costs and CO2 emissions. It indicates that building owners and DH producers all earn benefits from the application of demand response. The maximum heating cost saving by DR is 4.9\% for building owners. In the optimized two production scenarios, DH producers gain higher financial benefits and there are less CO2 emissions. The maximum total generation cost and CO2 emission savings are 12.6\% and 8.6\%, respectively.",

author = "Yuchen Ju and Joakim Lindholm and Moritz Verbeck and Juha Jokisalo and Risto Kosonen and Philipp Jan{\ss}enc and Yantong Li and Hans Sch{\"a}fers and Natasa Nord",

note = "| openaire: EC/H2020/894511/EU//SUREFIT | openaire: EC/H2020/856602/EU//FINEST TWINS Funding Information: This study is part of the Smart Pro HeaT – Smart Prosumer Heating Technologies, SUREFIT and FINEST Twins projects. Smart Proheat project is funded by Business Finland and private companies Caverion Ltd., Fourdeg Ltd., Halton Ltd., and Aalto University as well as the Federal Ministry for Economic Affairs and Energy of Germany in the project; EnEff: W{\"a}rme SmartProHeaT: Smart Prosumer Heating Technologies, Subproject: Integration of smart prosumers into smart thermal grids (Project number: 03ET1598). SUREFIT project is funded by European Union (Horizon 2020 programme, Grant number: 894511). FINEST Twins project is funded by European Union (Horizon 2020 programme, Grant No. 856602) and the Estonian government. Authors would like to thank the steering group of Smart Proheat project: M. Sc. Olli Nummelin and M. Sc. Nelli Melolinna from Caverion Ltd., M. Sc. Markku Makkonen from Fourdeg Ltd. and Dr. Panu Mustakallio from Halton Ltd. and the colleagues from University of Applied Sciences Hamburg: M.Sc. Jan Trosdorff for support and fruitful discussions. Publisher Copyright: {\textcopyright} Published under licence by IOP Publishing Ltd.; Sustainable Solutions for Energy and Environment, EENVIRO ; Conference date: 16-10-2022 Through 21-10-2022",

year = "2023",

doi = "10.1088/1755-1315/1185/1/012016",

language = "English",

volume = "1185",

journal = "IOP Conference Series: Earth and Environmental Science",

issn = "1755-1307",

publisher = "Institute of Physics Publishing",

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TY - JOUR

T1 - Demand response in the German district heating system

AU - Ju, Yuchen

AU - Lindholm, Joakim

AU - Verbeck, Moritz

AU - Jokisalo, Juha

AU - Kosonen, Risto

AU - Janßenc, Philipp

AU - Li, Yantong

AU - Schäfers, Hans

AU - Nord, Natasa

N1 - Conference code: 8

PY - 2023

Y1 - 2023

N2 - The renewable energy share in energy supply systems is increasing for carbon neutrality. The realization of carbon neutrality can be supported by demand response (DR) strategies. This paper analyzed the DR control benefits of a German district heating (DH) system. For the first step, in German conditions, three building types were simulated by IDA-ICE software with and without a rule-based DR control. Secondly, a community was established based on the heat demand of the simulated buildings. This paper selected two different production scenarios. One scenario consisted by a biofuel CHP and gas boilers and the other one included a heat pump, an electric heater, and a solar thermal storage. After that, the production of the two scenarios with and without DR was optimized by the HGSO tool and it calculated the total production costs and CO2 emissions. It indicates that building owners and DH producers all earn benefits from the application of demand response. The maximum heating cost saving by DR is 4.9% for building owners. In the optimized two production scenarios, DH producers gain higher financial benefits and there are less CO2 emissions. The maximum total generation cost and CO2 emission savings are 12.6% and 8.6%, respectively.

AB - The renewable energy share in energy supply systems is increasing for carbon neutrality. The realization of carbon neutrality can be supported by demand response (DR) strategies. This paper analyzed the DR control benefits of a German district heating (DH) system. For the first step, in German conditions, three building types were simulated by IDA-ICE software with and without a rule-based DR control. Secondly, a community was established based on the heat demand of the simulated buildings. This paper selected two different production scenarios. One scenario consisted by a biofuel CHP and gas boilers and the other one included a heat pump, an electric heater, and a solar thermal storage. After that, the production of the two scenarios with and without DR was optimized by the HGSO tool and it calculated the total production costs and CO2 emissions. It indicates that building owners and DH producers all earn benefits from the application of demand response. The maximum heating cost saving by DR is 4.9% for building owners. In the optimized two production scenarios, DH producers gain higher financial benefits and there are less CO2 emissions. The maximum total generation cost and CO2 emission savings are 12.6% and 8.6%, respectively.

UR - https://www.scopus.com/pages/publications/85160931271

U2 - 10.1088/1755-1315/1185/1/012016

DO - 10.1088/1755-1315/1185/1/012016

M3 - Conference article

AN - SCOPUS:85160931271

SN - 1755-1307

VL - 1185

JO - IOP Conference Series: Earth and Environmental Science

JF - IOP Conference Series: Earth and Environmental Science

IS - 1

M1 - 012016

T2 - Sustainable Solutions for Energy and Environment

Y2 - 16 October 2022 through 21 October 2022

ER -

Demand response in the German district heating system

Abstrakti

Rahoitus

YK:n kestävän kehityksen tavoitteet

Pääsy asiakirjaan

Muut tiedostot ja linkit

Sormenjälki

Projektit

-: FINEST TWINS GA856602Nieminen

Surefit: SUSTAINABLE SOLUTIONS FOR AFFORDABLE RETROFIT OF DOMESTIC BUILDINGS

SMART PROHEAT: SMART PROHEAT SMART PROSUMER HEATING TECHNOLOGIES

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